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Codestral 2508 vs Gemini 2.5 Pro Preview 06-05

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Codestral 2508Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.90
Gemini 2.5 Pro Preview 06-05Google
Coding
No data
Overall
No data
Output $/M
$10.00
vs $0.90 vs $10.00 per 1M output tokens. Codestral 2508 is 11.1x cheaper.

Decision reading

Neither model has a coding score yet, so the two cannot be ranked on coding.

Codestral 2508 has the edge where output tokens cost 11.1x less.

Shared results
0
Codestral 2508 only
7
Gemini 2.5 Pro Preview 06-05 only
14
Like-for-like categories
0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Codestral 2508 not benchmarked, Gemini 2.5 Pro Preview 06-05 not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Codestral 2508 $0.90 against Gemini 2.5 Pro Preview 06-05 $10.00 per million output tokens, 11.1x apart.
Context window
Codestral 2508 takes 256K tokens, Gemini 2.5 Pro Preview 06-05 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards, none shared
Coding benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
Aider polyglotNot measured83.1%Only Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Vals AI)Not measured79.2%Only Gemini 2.5 Pro Preview 06-05 measured
LiveCodeBench (Artificial Analysis run)Not measured77.8%Only Gemini 2.5 Pro Preview 06-05 measured
GSO-BenchNot measured3.9%Only Gemini 2.5 Pro Preview 06-05 measured
ALE-Bench137.8Not measuredOnly Codestral 2508 measured
Neither model has a result on the other 33 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
Neither model has a result on 2 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Agentic work benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
METR time horizonsNot measured55.4%Only Gemini 2.5 Pro Preview 06-05 measured
Remote Labor IndexNot measured0.8%Only Gemini 2.5 Pro Preview 06-05 measured
DeepResearch BenchNot measured42.8%Only Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 36 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
GPQA Diamond (Artificial Analysis run)Not measured83.6%Only Gemini 2.5 Pro Preview 06-05 measured
Humanity's Last Exam (Artificial Analysis run)Not measured19.9%Only Gemini 2.5 Pro Preview 06-05 measured
GPQA Diamond (Epoch AI run)Not measured84.8%Only Gemini 2.5 Pro Preview 06-05 measured
SimpleBenchNot measured62.4%Only Gemini 2.5 Pro Preview 06-05 measured
VPCTNot measured46.4%Only Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 16 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
MMLU Pro (Artificial Analysis run)Not measured85.8%Only Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
Design Arena: websites1013Not measuredOnly Codestral 2508 measured
Design Arena: UI components1017Not measuredOnly Codestral 2508 measured
Design Arena: game dev968Not measuredOnly Codestral 2508 measured
Design Arena: data viz1017Not measuredOnly Codestral 2508 measured
Design Arena: 3D1020Not measuredOnly Codestral 2508 measured
Design Arena: all code categories1007Not measuredOnly Codestral 2508 measured
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
General benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
Fiction.LiveBenchNot measured91.7%Only Gemini 2.5 Pro Preview 06-05 measured
Neither model has a result on the other 45 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Codestral 2508 and Gemini 2.5 Pro Preview 06-05
BenchmarkCodestral 2508Gemini 2.5 Pro Preview 06-05Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Codestral 2508$0.0008Fits in one request
Gemini 2.5 Pro Preview 06-05$0.0063Fits in one request

Codestral 2508 costs less

Repository review

50K input + 3K output tokens

Codestral 2508$0.018Fits in one request
Gemini 2.5 Pro Preview 06-05$0.092Fits in one request

Codestral 2508 costs less

Agent loop

200K input + 10K output tokens

Codestral 2508$0.069Fits in one request
Gemini 2.5 Pro Preview 06-05$0.350Fits in one request

Codestral 2508 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Codestral 2508 and Gemini 2.5 Pro Preview 06-05
SpecificationMistral Codestral 2508Google Gemini 2.5 Pro Preview 06-05
MakerMistral AIGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 1, 2025June 5, 2025
Context window256K1.05M
Input $/Mtok$0.30$1.25
Output $/Mtok$0.90$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Codestral 2508 better than Gemini 2.5 Pro Preview 06-05 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Codestral 2508 has the edge where output tokens cost 11.1x less.

Which is cheaper, Codestral 2508 or Gemini 2.5 Pro Preview 06-05?

Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Gemini 2.5 Pro Preview 06-05 costs $1.25 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Codestral 2508 or Gemini 2.5 Pro Preview 06-05?

Gemini 2.5 Pro Preview 06-05, with 1.05M tokens against 256K.

How many benchmarks is the Codestral 2508 vs Gemini 2.5 Pro Preview 06-05 comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Codestral 2508's coding index rests on 0 independent benchmarks and Gemini 2.5 Pro Preview 06-05's on 0. Where only one model has a result, the page says so instead of naming a winner.

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